General Paradigm of Edge-Based Internet of Things Data Mining for Geohazard Prevention. - Jiayu Qin; Gang Mei; Zhengjing Ma; Francesco Piccialli (Big Data, 2021)

Machine learning for landslides prevention: a survey. - Zhengjing Ma; Gang Mei; Francesco Piccialli (Neural Comput. Appl., 2021)

A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data. - Zhengjing Ma; Gang Mei; Edoardo Prezioso; Zhongjian Zhang; Nengxiong Xu (Neural Comput. Appl., 2021)

Deep Learning for Secure Communication in Cyber-Physical Systems. - Zhengjing Ma; Gang Mei; Francesco Piccialli (IEEE Internet Things Mag., 2022)

Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction. - Zhengjing Ma; Gang Mei; Salvatore Cuomo; Francesco Piccialli (J. King Saud Univ. Comput. Inf. Sci., 2022)

SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution. - Jingzhi Tu; Gang Mei; Zhengjing Ma; Francesco Piccialli (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Knowledge-infused Deep Learning Enables Interpretable Landslide Forecasting. - Zhengjing Ma; Gang Mei (CoRR, 2023)

An Attention-Based Cycle-Consistent Generative Adversarial Network for IoT Data Generation and Its Application in Smart Energy Systems. - Zhengjing Ma; Gang Mei; Francesco Piccialli (IEEE Trans. Ind. Informatics, 2023)

Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities. - Zhengjing Ma; Gang Mei; Nengxiong Xu (Artif. Intell. Rev., 2024)